Computational Tools for the Analysis of Uncultivated Phage Genomes-Reference-Cited by-同舟云学术

Computational Tools for the Analysis of Uncultivated Phage Genomes

Published:2022-06-15 Issue:2 Volume:86 Page:
ISSN:1092-2172
Container-title:Microbiology and Molecular Biology Reviews
language:en
Short-container-title:Microbiol Mol Biol Rev

Author:

Andrade-Martínez Juan Sebastián¹^ORCID,Camelo Valera Laura Carolina¹,Chica Cárdenas Luis Alberto¹,Forero-Junco Laura¹²^ORCID,López-Leal Gamaliel¹^ORCID,Moreno-Gallego J. Leonardo¹³^ORCID,Rangel-Pineros Guillermo¹⁴^ORCID,Reyes Alejandro¹⁵^ORCID

Affiliation:

1. Max Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia

2. Department of Plant and Environmental Science, University of Copenhagen, Frederiksberg, Denmark

3. Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen, Germany

4. The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

5. The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, USA

Abstract

Over a century of bacteriophage research has uncovered a plethora of fundamental aspects of their biology, ecology, and evolution. Furthermore, the introduction of community-level studies through metagenomics has revealed unprecedented insights on the impact that phages have on a range of ecological and physiological processes.

Funder

Consejo Nacional de Ciencia y Tecnología

Universidad de los Andes

Union's Horizon 2020 research and innovation program

Publisher

American Society for Microbiology

Subject

Molecular Biology,Microbiology,Infectious Diseases

Link

https://journals.asm.org/doi/pdf/10.1128/mmbr.00004-21

Reference155 articles.

1. From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems